Japanese researchers from the University of Osaksky Metropolitan developed a deep learning model that had previously been included in the existing astronomical databases, helping to find bubble structures in the Milky Way. Published in İş Magazine Japan Astronomy Association Publications (PASJ).
Like other galaxies, the Milky Way contains bubble structures formed during the birth and activity of large stars. This so -called Spitzer bubbles are an important element in the examination of the origin and evolution of stars.
In a new study, scientists developed a model that uses artificial intelligence to process data from Spitzer and James Webb space telescope. II Image Recognition Algorithms made it possible to identify Spitzer bubbles effectively and accurately, and according to scientists, shell structures that may occur as a result of supernova explosions.
Nisimoto, “Our results, with the help of AI, not only star formation processes, but also the results of the explosive phenomena in galaxies show that we can do detailed studies,” he said.
“In the future, the development of artificial intelligence technologies will accelerate the explanation of evolution mechanisms and the formation of stars.”
Previous astronomers Showy The first photos of the Bloody Moon.
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Source: Gazeta
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